Junsu Shin

Senior Researcher at Agency for Defense Development

Research Interest:

Aeroderivative Gas Turbine Engine Combustor Design using Physics-Guided Deep Learning
Analysis of Flow and Combustion Characteristics in the Combustor using Deep Learning methods
Data-driven Modeling for Turbulence and Turbulent Combustion using Deep Learning Methods
Combustion data assimilation via Machine-learning algorithms.
Turbulent Combustion Modeling using High-fidelity LES Simulation

Work experience:

Currently serving as a Senior Researcher at Aerospace Technology Research Institute, Agency for Defense Development, specializing in the design, fabrication, and testing of aero-derivative gas turbine engine combustors (April 2023 ~).
Postdoctoral researcher at Bundeswehr University Munich (December 2018 ~ March 2023)
- Research activities
1. Employed high-fidelity combustion DNS database as training data.
2. Derived data-driven turbulent combustion modeling based on machine-learning methods.
3. Interpreted trained deep learning network using model-agnostic interpretation methods.
4. Analysed a priori and a posteriori for unseen flame DNS data.
Research assistant at Korea Aerospace University (March 2011 ~ August 2018)
- Research activities
1. Integrated diagnostic program development for the stable and eco-friendly combustor of gas turbine engines, funded by Ministry of Trade, Industry and Energy (Republic of Korea), The role was to develop inhouse CFD code to diagnose low-emission gas turbines

2. The development of numerical model for combustion characteristics of various kinds of pulverized coal, funded by POSCO Corporation (Republic of Korea). The role was to conduct a large-eddy simulation of combustion of pulverized coal and air using ANSYS FLUENT

3. Deriving a particle laden flow combustion model of aluminum nano- and micro-sized particles and air mixture, funded by Agency of Defense Development (Republic of Korea). The role was to develop a combustion model of aluminum particle and air mixture, covering large range of the particle size from nano to micro size

Education:

Ph.D. in Department of Aerospace and Mechanical Engineering
Korea Aerospace University
March 2013 - August 2018

M.E. in Department of Aerospace and Mechanical Engineering
Korea Aerospace University
March 2011 - February 2013

B.Sc. in School of Aerospace and Mechanical Engineering
Korea Aerospace University
March 2003 - February 2011

Activities and Skills:

Club activity
A member of student rocket club in Korea Aerospace University, the society of rocket study. Active member from 2003 to 2011. Demonstrated a launch of a hybrid rocket that is fueled by polyethylene and nitrogen oxide at Noshiro space event in Japan in 2008.
Computer skills
OS: Linux, Windows, Mac, Word processor: VIM enthusiast, Microsoft Office
CFD softwares
OpenFOAM, Ansys FLUENT, Contributed to develop a parallel in-house CFD code for compressible reacting flows written in Fortran 90 during PhD course
CFD Post-processing: Matplotlib, Tecplot, Origin, Paraview, Ensight
Programming skills
Python, Fortran 77/90, C/C++, Matlab, Mathematica. Use of multiple machine learning libraries including TensorFlow, Keras, PyTorch, Scikit-learn
Chemistry solver: FlameMaster, Cantera, Chemkin, CEA
Languages
Korean, Japanese, English
Professional courses taken
1. OpenFOAM® Machine Learning Hackathon, July 25 – 27 2022 (certificate)
2. NVDIA Online course for Fundamentals of Deep learning for Multiple Data Types, April 21 2021 (certificate)

Teaching Experience:

Lecturer

Korea Aerospace University

Course title: Fortran Programming and Practice

Fall semester of 2015-2017

Award & Scholarship

The best paper awards for presentation (2018)

Institution: The Society for Aerospace System Engineering

Paper title: Numerical Study of Synthetic Turbulence Effect in Backward Facing Step

Author: Sanghun Ahn, Junsu Shin, Hong-Gye Sung

The best paper awards for presentation (2016)

Institution: The Korean Society of Propulsion Engineers

Paper title: Numerical Simulation of Hydrogen Combustion in a Model Scramjet Combustor using Hybrid RANS/LES

Author: Junsu Shin, Hong-Gye Sung

Research Publication:

Peer-reviewed Journal

Michael Pfitzner, Junsu Shin, Markus Klein, A Priori Validation of a Multidimensional Turbulent Premixed Combustion Model for High-Pressure Bunsen Flames, Combustion Science and Technology(SCIE) 195(14):3262-3280, 2023. DOI: 10.1080/00102202.2023.2239475
Junsu Shin, Victor Xing, Michael Pfitzner, Corentin Lapeyre, "Probabilistic Deep Learning of Turbulent Premixed Combustion," AIP Advances(SCIE), 2023. https://doi.org/10.1063/5.0146268.
Christian Kasten, Junsu Shin, Richard Sandberg, Michael Pfitzner, Nilanjan Chakraborty, Markus Klein, "Modelling Subgrid-scale Scalar Dissipation Rate in Turbulent Premixed Flames using Gene Expression Programming and Deep Artificial Neural Network," Physics of Fluids(SCIE) 34, 085113, 2022. DOI: 10.1063/5.0095886
Christian Kasten, Junsu Shin, Michael Pfitzner, Markus Klein, "Modelling Filtered Reaction Rate in Turbulent Premixed Flames using Feature Importance Analysis, Gene Expression Programming and Tiny Artificial Neural Networks," International Journal of Heat and Fluid Flow(SCIE) 97, 109032, 2022. DOI: 10.1016/j.ijheatfluidflow.2022.109032
Junsu Shin, Maximilian Hansinger, Michael Pfitzner, Markus Klein, "A Priori Analysis on Deep Learning of Filtered Reaction Rate," Flow, Turbulence and Combustion(SCIE), Vol. 109, pp. 383–409, 2022. DOI: 10.1007/s10494-022-00330-0
Michael Pfitzner, Junsu Shin, Markus Klein, "A multidimensional combustion model for oblique, wrinkled premixed flames, " Combustion and Flame(SCIE), Vol. 241(1) 112121, 2022. DOI: 10.1016/j.combustflame.2022.112121
Junsu Shin, Yipeng Ge, Arne Lampmann, Michael Pfitzner, "A Data-Driven Subgrid Scale Model in Large Eddy Simulation of Turbulent Premixed Combustion," Combustion and Flame(SCIE), Vol. 231, 111486, 2021.
DOI: https://doi.org/10.1016/j.combustflame.2021.111486
Junsu Shin, Hong-Gye Sung, “Zonal Hybrid Reynolds-Averaged Navier–Stokes/Large-Eddy Simulation of a Hydrogen-Fueled Scramjet Combustor,” AIAA Journal, Vol. 56, No. 6, pp. 2322-2335, 2018. DOI: https://doi.org/10.2514/1.J056707
Junsu Shin, Hong-Gye Sung, “Combustion Characteristics of Hydrogen and Cracked Kerosene in a DLR Scramjet Combustor Using Hybrid RANS/LES Method,” Aerospace Science and Technology, Vol. 80, pp. 433-444, 2018.
DOI: https://doi.org/10.1016/j.ast.2018.03.006
Junsu Shin, Hong-Gye Sung, “Comparison of Hybrid RANS/LES Methods for Supersonic Combustion in a Model Scramjet Combustor,” Progress in Hybrid RANS-LES Modelling, Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Vol. 137, pp. 233-242, 2018. DOI: https://doi.org/10.1007/978-3-319-70031-1_19
Juyong Lee, Junsu Shin, Hong-Gye Sung, "Assessment of Turbulence Models with Compressibility Correction for Large Flow Separation in a Supersonic Convergent-Divergent Rectangular Nozzle", Journal of Aerospace System Engineering, Vol. 12, No. 5, pp. 40-47, 2018. DOI: https://doi.org/10.20910/JASE.2018.12.5.40
Junsu Shin, Hong-Gye Sung, “Numerical Investigation of Scramjet Combustor Using DDES,” International Journal of Turbo & Jet-Engines, Vol. 34, No. 1, pp. 75-80, 2017. DOI: https://doi.org/10.1515/tjj-2015-0056
Doo-Hee Han, Junsu Shin, Hong-Gye Sung, “A detailed flame structure and burning velocity analysis of aluminum dust cloud combustion using the Eulerian–Lagrangian method,” Proceedings of the Combustion Institute, Vol. 36, pp. 2299–2307, 2017.
DOI: https://doi.org/10.1016/j.proci.2016.06.189
Doo-Hee Han, Min-Kyoung Jo, Junsu Shin, Hong-Gye Sung, Su-Kyum Kim, "Numerical Analysis on Plasma Particles inside Electro-magnetic Field Using Particle-in-cell Method", Journal of the Korean Society for Aeronautical & Space Sciences, Vol. 45, pp. 932-938, 2017. DOI:https://10.5139/JKSAS.2017.45.11.932
Doo-Hee Han, Junsu Shin, Jeong-Seok Kang, Jung-Shin Park, Sun-Sang Park, Jae-Su Kwak, Hong-Gye Sung, “Numerical and experimental studies on the mixing characteristics of two jets with inclined angles in a rectangular chamber,” Journal of Mechanical Science and Technology, Vol. 28, No. 10, pp. 4083-4090, October 2014. DOI: https://doi.org/10.1007/s12206-014-0921-9
Doo-Hee Han, Jeong-Seok Kang, Jun-Su Shin, Hong-Gye Sung, Kyung-Hoon Shin, Sung-han Choi, Kab-Sung Hwang, "Study on Boron-bead Combustion Characteristics for High Energy Gas Generator," Journal of the Korean Society of Propulsion Engineers Vol. 18, No. 4, pp. 26-32, 2014. DOI: http://dx.doi.org/10.6108/KSPE.2014.18.4.026
Junsu Shin, Hong-Gye Sung, “Theoretical study on premixed flames of nano aluminum particles and water mixture,” Applied Mechanics and Materials, Vol. 284-287, pp. 567-571, January 2013. DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.567
Shi-Kyung Yoon, Junsu Shin, Hong-Gye Sung, “Combustion Modeling of Nano/Micro Aluminum Particle Mixture,” Journal of the Korean Society of Propulsion Engineers, Vol.15, No. 6, pp. 15-25, 2011.

Conferences

Michael Pfitzner, Junsu Shin, Markus Klein, "A priori validations of a multidimensional turbulent premixed combustion model," 12th Mediterranean Combustion Symposium, Luxor, Egypt, 23-26 January 2023, in progress.
Junsu Shin, Maximilian Hansinger, Michael Pfitzner, Markus Klein, “A Priori Analysis of Data-driven Premixed Combustion Subgrid Models,” 30th Deutscher Flammentag, 28-29 September 2021, Hannover-Garbsen, Germany.
Maximilian Hansinger, Junsu Shin, Michael Pfitzner, Markus Klein, “Machine learning assisted development of a premixed combustion model using deep residual networks,” 10th European Combustion Meeting - Virtual Edition, 14-15 April 2021, Naples, Italy.
Junsu Shin, Maximilian Hansinger, Michael Pfitzner and Markus Klein, "Searching the Principal Combustion Parameters using Deep Neural Network," 10th European Combustion Meeting - Virtual Edition, 14-15 April 2021, Napoli, Italy.
3차원 Zonal Hybrid RANS/LES를 이용한 HIFiRE-2 듀얼모드 램제트엔진의 연소 유동장 구조 조사, 이주용, 신준수, 성홍계, 한국항공우주학회 2018.11
가스터빈엔진 연소기의 안정성 및 친환경성 진단 통합프로그램 개발 현황, 항공우주시스템공학회 추계학술대회, 2018년 10월 31일, 경주
Sanghun Ahn, Junsu Shin, Hong-Gye Sung, ”Numerical Study of Synthetic Turbulence Effect in Backward Facing Step,” Proceedings of the Society for Aerospace System Engineering, 25-28 April 2018, Jeju, Korea.
Juyong Lee, Junsu Shin, Hong-Gye Sung, ”Numerical Simulation of Turbulent Combustion in a DLR Supersonic Combustor using Hybrid RANS/LES Method,” Proceedings of the Society for Aerospace System Engineering, 25-28 April 2018, Jeju, Korea.
큰 유동박리를 동반하는 초음속 노즐 유동에 대한 압축성 보정 난류모델 평가 학술대회 논문집 2017년 11월 1-4일 34 - 35 이주용, 신준수, 성홍계, 부산
Junsu Shin, Hong-Gye Sung, “Numerical Investigation of HDCR Dual-mode Ramjet Using Zonal Hybrid RANS/LES method,” Proceedings of the Korean Society of Propulsion Engineers, 22-24 November 2017, Busan, Korea.
Junsu Shin, Hong-Gye Sung, “Numerical Study of HIFiRE Dual-mode Ramjet Flowfield Using Zonal Hybrid RANS/LES Method,” Proceedings of the Korean Society of Aeronautical and Space Sciences, 15-18 November 2017, Jeju, Korea.
Junsu Shin, Hong-Gye Sung, “Numerical Investigation of Nonpremixed Turbulent Flame of Cracked Kerosene in a Model Scramjet Combustor using Zonal Hybrid RANS/LES Method,” Proceedings of the Korean Society of Propulsion Engineers, 31 May-2 June 2017, Jeju, Korea.
Junsu Shin, Hong-Gye Sung, “Numerical Simulation of Hydrogen and Cracked Kerosene Surrogate Combustion in Model Scramjet Combustor Using Synthetic Eddy Method,” Proceedings of the Korean Society of Aeronautical and Space Sciences, 19-22 April 2017, Samchuk, Korea.
Junsu Shin, Hong-Gye Sung, “IDDES of Supersonic Combustion of Hydrogen and Cracked Kerosene Surrogate Using Flamelet Approach,” 21st AIAA International Space Planes and Hypersonics Technologies Conference, 6-9 March 2017, Xiamen, China. https://doi.org/10.2514/6.2017-2206
Junsu Shin, Hong-Gye Sung, “Comparison of Hybrid RANS/LES Methods for Supersonic Combustion in a Model Scramjet Combustor,” 6th Symposium on Hybrid RANS/LES Method, 26-28 September 2016, Strasbourg, France.
Junsu Shin, Hong-Gye Sung, “The Effect of Turbulence Models of the Hybrid RANS/LES Schemes on Supersonic Turbulent Hydrogen Combustion,” Proceedings of the Korean Society of Propulsion Engineers, 26-27 May 2016, Jeju, Korea.
Junsu Shin, Hong-Gye Sung, “IDDES of a Hydrogen Combustion in a Model Scramjet Combustor using High-order Spatial Discretization,” Proceedings of Asia Joint Conference on Propulsion and Power, 16-19 March 2016, Kagawa, Japan.
Junsu Shin, Hong-Gye Sung, “Numerical Simulation of Hydrogen Combustion in a Model SCRAMJET Combustor using IDDES framework,” 20th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, 6-9 July 2015, Glasgow, Scotland. https://doi.org/10.2514/6.2015-3625
Junsu Shin, Hong-Gye Sung, “IDDES of a Supersonic Combustion Ramjet Experiment”, Asia-Pacific International Symposium on Aerospace Technology, 25-27 November 2015, Cairns, Australia.
Junsu Shin, Hong-Gye Sung, “Numerical Simulation of Hydrogen Combustion in a Model Scramjet Combustor using Hybrid RANS/LES,” Proceedings of the Korean Society of Propulsion Engineers, 25-27 November 2015, Gyeongju, Korea.
Junsu Shin, Hong-Gye Sung, Hyunyong Gil, “Numerical Analysis of SCRAMJET Combustor using Hybrid RANS/LES”, Proceedings of the Society for Aerospace System Engineering, 21-22 May 2015, Jeju, Korea.
Junsu Shin, Hong-Gye Sung, Hyunyong Gil, “Numerical Investigation of Scramjet Combustor Using DDES,” Proceedings of Asian-Pacific Conference on Aerospace Technology and Science, 20-23 May 2015, Jeju, Korea.
Junsu Shin, Kyuhwan Moon, Hong-Gye Sung, Hyunyong Gil, “Numerical Investigation of Scramjet Combustor Using DDES”, Proceedings of the Korean Society of Aeronautical and Space Sciences, 19-21 November 2014, Jeju, Korea.
Junsu Shin, Kyuhwan Moon, Hong-Gye Sung, Hyunyong Gil, “A Unified Numerical Analysis of Dual Combustion Ramjet Using DDES”, Proceedings of the Korean Society of Aeronautical and Space Sciences, 16-18 April 2014, Wonju, Korea.
Junsu Shin, Hyowon Yeom, Bonggyun Seo, Hong-Gye Sung, “Supersonic Combustion Characteristics of a Dual Combustion Ramjet”, 21st Conference of International Symposium on Air Breathing Engines, 9-13 September 2013, Busan, Korea.
Junsu Shin, Doo-Hee Han, Hong-Gye Sung, “Modeling of Aluminum Combustion in Air-breathing Combustor,” 5th European Conference for Aeronautics and Space Sciences, 1-5 July 2013, Munich, Germany.
Junsu Shin, Hyowon Yeom, Hong-Gye Sung, Hyunyoung Gil, “Study on improvement of mixing and combustion of dual combustor ramjet”, Proceedings of the Korean Society of Propulsion Engineers, 30-31 May 2013, Busan, Korea.
Junsu Shin, Hong-Gye Sung, Hojin Choi, Hyungsu Hyeon, Kabsung Hwang, “Theoretical study on Boron combustion model”, Proceedings of the Korean Society of Propulsion Engineers, 22-23 November 2012, Yeosu, Korea.
Junsu Shin, Hong-Gye Sung, “Theoretical study on premixed flames of nano aluminum particles and water mixture”, 2nd International Conference of Engineering and Technology Innovation, 2-6 November 2012, Kaohsiung, Taiwan.
Junsu Shin, Hong-Gye Sung, “Analytic study of radiation effects on premixed flames of nano aluminum–water mixture,” Proceedings of Asia Joint Conference on Propulsion and Power, 1-3 March 2012, Xian, China.

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